On 10/4/10 3:36 AM, nickj wrote: > Hello all, > > I'm playing with Matplotlib & Basemap for the first time, and > attempting to render data from the NOAA GFS models. With joy I finally > got something on screen, however I was wondering what I might be able > to do, to better improve the contour rendering of the final map. To > better illustrate my problem, here is a screenshot with added red > lines pointing to the odd slicing I get around the contours: > http://www.bigoceans.com/slices.png > > Is there any way to rectify that? >
Nick: Are you using matplotlib 1.0.0? I'm not sure, but I think there were some improvements to contour in that release which fixed this problem. If you are using 1.0.0, could you post the script so I can try it? > Also, part of my project is to output massively high resolution images > of this work, which I'll be using to display in a number of mediums > which are of particular aesthetic importance (I'm not a scientist, I'm > producing something more in the realm of infographics). I decided > perhaps the best method to achieve this is as a PDF/Vector output, > which I could generate bitmaps at a later date at any resolution I > choose to render the PDF as (upwards of 8000pixels). Would anyone be > able to best recommend how I can achieve the highest possible > contouring, country borders and other things related to detail? I have > attempted to use the resolution=full keyword, however my computer > balked and failed to respond after five minutes. What is this keyword > actually doing? What can I do to get the greatest resolution of > coastline & map representation? The default is ='c' (or 'crude' which gives very low resolution coastlines). Moving upward in resolution, there is 'l','i','h' and finally 'f', which is probably overkill for a domain of this size (it will be very slow and use a lot of memory). -Jeff -- Jeffrey S. Whitaker Phone : (303)497-6313 Meteorologist FAX : (303)497-6449 NOAA/OAR/PSD R/PSD1 Email : jeffrey.s.whita...@noaa.gov 325 Broadway Office : Skaggs Research Cntr 1D-113 Boulder, CO, USA 80303-3328 Web : http://tinyurl.com/5telg ------------------------------------------------------------------------------ Virtualization is moving to the mainstream and overtaking non-virtualized environment for deploying applications. Does it make network security easier or more difficult to achieve? Read this whitepaper to separate the two and get a better understanding. http://p.sf.net/sfu/hp-phase2-d2d _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users